Association of plasma biomarkers with cognitive domains across three neurodegenerative diseases and cerebrovascular disease
Bibliographic record
Abstract
Abstract Background It is critical to better understand the value of plasma biomarkers in predicting cognitive deficits before widespread use as diagnostic and prognostic tools in specialized clinics and as markers of neurodegenerative disease progression in trials. Herein, we investigate their association with five cognitive domains across three common neurodegenerative diseases and cerebrovascular disease. Method Patients from the curated multi‐site Ontario Neurodegenerative Disease Research Initiative (ONDRI) were included in this study, classified by diagnostic group: Alzheimer’s disease/Mild cognitive impairment (AD/MCI, n = 126, age = 71.0±8.2, 55%M), frontotemporal dementia spectrum disorders (FTD, n = 53, age = 67.8±7.1, 64%M), Parkinson’s disease (PD, n = 140, age = 67.9±6.3, 78%M) and cerebrovascular disease (CVD, n = 161, age = 69.2±7.4, 68%M). Plasma concentrations of Aβ40 and Aβ42 (Aβ42/40 ratio), glial fibrillary acidic protein (GFAP), neurofilament light (NfL) and phosphorylated‐tau181 (p‐tau181) were measured using high‐sensitivity Simoa assays. Scores from a 26‐test comprehensive neuropsychological assessment were used to compute composite z‐scores for five cognitive domains: attention & working memory, executive function, language, memory, and visuospatial function. Linear regression models controlling for age, sex, education and APOE E4 allele were used to test the association between plasma biomarkers and cognitive domains in each group separately. Result In AD/MCI, higher levels of GFAP, NfL and p‐tau181 were all associated with worse attention & working memory, executive function, and memory. In PD, higher levels of NfL were associated with worse attention & working memory, executive function, and visuospatial function; higher levels of GFAP were also associated with worse executive function. In CVD, higher levels of GFAP were associated with worse executive function, memory and visuospatial function; higher levels of p‐tau181 were also associated with worse memory. In FTD, no associations were found. Conclusion Plasma biomarkers indicative of neuronal and glial pathology are useful to predict the severity of widespread cognitive deficits in AD/MCI, PD, and CVD. Interestingly, p‐tau181 predicted memory deficits in both AD/MCI and CVD, suggesting potential mixed disease or pathological overlap. Plasma Aβ42/40 does not appear to predict any cognitive deficits in any of the neurodegenerative diseases studied. As FTD is highly heterogeneous and had the least number of patients, we are possibly lacking power to detect effects in this group.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".